Trait opencv::hub_prelude::KNearestTrait

source · 
pub trait KNearestTrait: KNearestTraitConst + StatModelTrait {
    // Required method
    fn as_raw_mut_KNearest(&mut self) -> *mut c_void;

    // Provided methods
    fn set_default_k(&mut self, val: i32) -> Result<()> { ... }
    fn set_is_classifier(&mut self, val: bool) -> Result<()> { ... }
    fn set_emax(&mut self, val: i32) -> Result<()> { ... }
    fn set_algorithm_type(&mut self, val: i32) -> Result<()> { ... }
}
Expand description

Mutable methods for crate::ml::KNearest

Required Methods§

source

fn as_raw_mut_KNearest(&mut self) -> *mut c_void

Provided Methods§

source

fn set_default_k(&mut self, val: i32) -> Result<()>

Default number of neighbors to use in predict method.

See also

setDefaultK getDefaultK

source

fn set_is_classifier(&mut self, val: bool) -> Result<()>

Whether classification or regression model should be trained.

See also

setIsClassifier getIsClassifier

source

fn set_emax(&mut self, val: i32) -> Result<()>

Parameter for KDTree implementation.

See also

setEmax getEmax

source

fn set_algorithm_type(&mut self, val: i32) -> Result<()>

%Algorithm type, one of KNearest::Types.

See also

setAlgorithmType getAlgorithmType

Object Safety§

This trait is not object safe.

Implementors§